Evidence map›Paper›PMID 35613687›Full record

ArticleInternational journal of radiation oncology, biology, physics2022

Decreases in Radiation Oncology Medicare Reimbursement Over Time: Analysis by Billing Code.

Jacob Hogan, Amit Roy, Patricia Karraker, Jordan R Pollock, Zachary Griffin, Neha Vapiwala, Jeffrey D Bradley, Carlos A Perez, Benjamin W Fischer-Valuck, John C Baumann and 1 more

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. A framework for medical physics compensation in an academic department.Journal of applied clinical medical physics · 2024
    Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jacob HoganWashington University School of Medicine in St. Louis, St. Louis, Missouri.
Amit RoyDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri.
Patricia KarrakerDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri.
Jordan R PollockMayo Clinic School of Medicine, Scottsdale, Arizona.
Zachary GriffinLong School of Medicine, San Antonio, Texas.
Neha VapiwalaDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
Jeffrey D BradleyDepartment of Radiation Oncology, Emory University School of Medicine, Atlanta, Georgia.
Carlos A PerezDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri.
Benjamin W Fischer-ValuckDepartment of Radiation Oncology, Springfield Clinic, Springfield, Illinois.
John C BaumannPrinceton Radiation Oncology, Princeton, New Jersey.
Brian C BaumannDepartment of Radiation Oncology, Washington University in St. Louis, St. Louis, Missouri; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: brian.baumann@wustl.edu.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
NCI NIH HHS P30 CA091842
6 · The paper itself

Abstract

purposeRadiation oncology (RO) has seen declines in Medicare reimbursement (MCR). However, there are no recent studies analyzing the contributions of specific billing codes to overall RO reimbursement. We compared total MCR for specific Healthcare Common Procedure Coding System (HCPCS) codes in 2019 with MCR for those codes in 2010 and 2015, corrected for inflation, to see how the same basket of RO services in 2019 would have been reimbursed in 2010 and 2015 (adjusted MCR). METHODS AND MATERIALS: The Centers for Medicare & Medicaid Services Physician/Supplier Procedure Summary database was used to obtain MCR data for RO HCPCS codes in 2010, 2015, and 2019. For each code, the total allowed charge was divided by the number of submitted claims to calculate the average MCR per claim in 2010, 2015, and 2019. The 2019 billing frequency for each code was then multiplied by the inflation-adjusted average MCR for those codes in 2010 and 2015 to determine what the MCR would have been in 2010 and 2015 using 2019 dollars and utilization rates. Results were compared with actual 2019 MCR to calculate the projected difference.

resultsTotal inflation-adjusted RO MCR was $2281 million (M), $1991 M, and $1848 M in 2010, 2015, and 2019 respectively. This represents a cut of $433 M (19%) and $143 M (7%) from 2010 and 2015, respectively, to 2019. After utilization adjustment, total reimbursement was $2534 M, $2034 M, and $1848 M for 2010, 2015, and 2019, respectively, representing a cut of $686 M (27%) and $186 M (9%) from 2010 and 2015, respectively, to 2019. Intensity modulated radiation therapy (IMRT) treatment delivery and planning accounted for $917 M (36%), $670 M (33%), and $573 M (31%) of the adjusted MCR in 2010, 2015, and 2019, respectively.

conclusionsMedicare reimbursement decreased substantially from 2010 to 2019. A decline in IMRT treatment reimbursement was the primary driver of MCR decline. When considering further cuts, policymakers should consider these trends and their consequences for health care quality and access.

Indexed as

PhysiciansRadiation OncologyAgedDatabases, FactualFees and ChargesHumansInsurance, Health, ReimbursementMedicareUnited States

Identifiers

PMID35613687
PMCPMC10077845

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.